Doris Germain

4.1k citations
73 papers · 3.1k indexed · h-index 32

Doris Germain

71 papers receiving 3.1k citations

Peers

Doris Germain
Comparison fields: 5 of 103
  • Aging 84
  • Geriatrics and Gerontology 185
  • Cell Biology 567
  • Molecular Biology 2.2k
  • Oncology 780
Replace Michael J. Ausserlechner with:
Michael J. Ausserlechner Austria
Yuewei Qian United States
Ezgi Tasdemir France
Kei Tobiume Japan
Gerta Hoxhaj United States
Stéphane Rocchi France
Guri Tzivion United States
Jim O’Prey United Kingdom
Guangchao Sui United States
Antonis S. Zervos United States
Doris Germain relative to Michael J. Ausserlechner Austria Michael J. Ausserlechner's profile →
Citations per field
00.5×2.5×
Michael J. Ausserlechner · 1×
Citations per year

Countries citing papers authored by Doris Germain

Since Specialization
Citations

This map shows the geographic impact of Doris Germain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Doris Germain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doris Germain more than expected).

Fields of papers citing papers by Doris Germain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doris Germain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Doris Germain. The network helps show where Doris Germain may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Doris Germain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Doris Germain Line = papers co-authored together Doris Germain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20224
4 202111
5 202046
6 201921
7 201923
8 201717
9 201725
10 201631
11 201640
12 2013240
13 201126
14 201171
15 201129
16 200835
17 200728
18 200712
19
Cyclin d1 overexpression sensitizes breast cancer cells to fenretinide.
200316
20 200083

About Doris Germain

Doris Germain is a scholar working on Cell Biology, Aging, Geriatrics and Gerontology, Oncology and Molecular Biology, having authored 73 papers that have together received 3.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (18 papers), Cancer-related Molecular Pathways (17 papers), Ubiquitin and proteasome pathways (16 papers), Endoplasmic Reticulum Stress and Disease (14 papers), Autophagy in Disease and Therapy (7 papers), Estrogen and related hormone effects (7 papers), Cancer Risks and Factors (5 papers) and Retinoids in leukemia and cellular processes (5 papers). The work is most often cited by research in Aging (84 citations), Geriatrics and Gerontology (185 citations), Cell Biology (567 citations), Molecular Biology (2.2k citations) and Oncology (780 citations). Doris Germain has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Luena Papa, Luena Papa, David A. Frank, Timothy C. Kenny, Joy Hendley, Giovanni Manfredi, David Y. Thomas, Adrian Russell, Susanne Radke and Maria Gomez-Jenkins. Their work appears in journals such as Cancer Research, Oncogene, Journal of Biological Chemistry, Clinical Cancer Research and Journal of Cell Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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